The roadmap to
Data Confidence™
Data Confidence is the key to supporting safe innovation and grabbing first-mover AI benefits
More regulations. More data. More pressure. Data leaders: You have a lot on your plate—and you probably don’t even know what you have (and don’t have) on it. The first step to reigning in the data chaos is governance.
Data dreams die in silos
Data beats intuition in a fair fight
Feed your insatiable data monsters
The time to prepare for AI is now
Risky business: How to mitigate risk across your organization
How refreshing: Heineken tames data chaos and democratizes insight
Something’s gotta give. Data is a puzzle organizations can’t seem to solve — but have to if they want to compete in a marketplace that gets leaner, faster and more data-driven every day.
Few companies can keep up with all the data use cases their people are asking for. And right now, AI is blowing open the gap between what companies realistically can do with data and what they need to do.
Empowering users with high-quality data is a complex goal with a lot of barriers: siloed data, complicated reporting, limited visibility, and technical systems that make it impossible for governance stakeholders to participate, to name a few.
But we think it all boils down to one root problem: fragmented governance.
This ebook will explore fragmented governance, but in short, it’s what happens when control and visibility are tethered to specific data systems, sources or compute platforms — preventing organizations from scaling their data and AI use cases safely.
As data estates grow ever more complex, and opportunities amass, and risks and regulations rise … playing whack-a-mole with governance challenges will become unsustainable.
That’s the bad news.
The good news is that treating governance fragmentation gives you the foundation for solving most of the problems.
And in doing so, you’ll create a scalable foundation for accelerating new use cases, creating more trust in data and ensuring safety. Think of it as a ‘shift left’ approach for governance.
And once you build that foundation, you can achieve Data Confidence ™: the ability to activate your data at scale and the feeling of confidence you’re safe and ready to meet what’s next.
And it feels pretty great.
What you’ll get from this ebook: high-level strategy considerations for overcoming governance fragmentation, building a foundation for the future, and achieving the four dimensions of Data Confidence.
Governance fragmentation stands between organizations and Data Confidence
How to mitigate risk across your organization
How to instill trust in data across the organization
How to build a foundation to support innovation at scale
How to ready your organization for AI
Case study: Heineken
Data Confidence is closer than you think
